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GE Vernova · 1 day ago

Senior Principal AI Software Engineer

Niskayuna

Full-time

Onsite

Senior Level, Lead/Staff

$164K/yr - $274K/yr

15+ years exp

GE Vernova is a leading company in the AI sector, seeking a Senior Principal AI Software Engineer to shape their technical vision and lead AI software development initiatives. The role involves driving the conception and design of cutting-edge Industrial AI Service offerings while collaborating with various teams to enhance AI practices and standards.

EnergyEnergy EfficiencySustainability

Responsibilities

Influence AI strategy, direction and policy. Guide AI software development and technical vision across products and solutions

Lead cross-team initiatives with product and data science

Design agent workflows, RAG architecture and develop approaches to develop custom LLMs with specific domain data

Represent GE Vernova as a subject-matter-expert with partners, vendors and customers

Apply your knowledge of AI trends to develop new practices. Review business requirements and help the team understand trade offs

Establish AI cost management, monitoring, and security standards

Qualification

AI software developmentLarge language modelsCloud platformsProgramming PythonProgramming JavaVector databasesAI orchestration frameworksTechnical mentorshipCommunication skillsProblem-solving approach

Required

Bachelor's degree in Computer Science, Computer Engineering, or related technical field

15+ years of programming experience in a relevant language using modern languages (Python preferred, Java, Node.js or Go)

Proven experience designing and deploying production GenAI applications that use large language models at scale

Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications

Expertise with multiple LLM providers, advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks) and creating custom agents

Extensive experience leading technical teams, creating technical strategy, and providing technical mentorship

Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS)

Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and model monitoring

Systematic problem-solving approach, strong communication skills, a sense of ownership and drive

Must be willing to work out of an office located in Niskayuna, NY

Preferred

18+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization

Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale

Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models

Experience with AI observability tools, cost optimization strategies for different AI application types, and performance monitoring at enterprise scale

Experience with cross-organizational collaboration and communicating technology strategy across a variety of stakeholders

Experience with technical strategy development and technology roadmap planning